Supervisor Agent

The Supervisor Agent is a specialized AI agent in Lamatic.ai designed to manage and coordinate multi-agent flow. It serves as the central hub, collecting input, maintaining structured memory, and orchestrating the execution of sub-agents based on predefined logic. This ensures an efficient, iterative process for dynamic AI-powered applications such as structured decision-making systems and task automation.

Why Use the Supervisor Agent?

  • Orchestrate Complex AI Flow: Manage multiple agents dynamically, ensuring structured execution.
  • Maintain Context and Memory: Retain past interactions to improve continuity in multi-step tasks.
  • Enable Adaptive Execution: Define agent paths, loop conditions, and AI-generated decision trees.

Key Features

Core Functionalities

  1. Multi-Agent Coordination
  2. Memory Retention
  3. Agent Path Definition
  4. Loop Control

Advantages

  1. Scalability
  2. Efficient Context Handling
  3. Adaptive Decision-Making
  4. Visual Workflow Representation

How to Use the Supervisor Agent?

Creating a Supervisor Agent via Flow Editor

  1. Add an Agent Node
  2. Define Agent Paths
  3. Configure Prompt Templates
  4. Select an LLM Model
  5. Set Loop & Stop Conditions
  6. Deploy & Connect

Creating a Supervisor Agent via Agent Dashboard

  1. Navigate to the Agents Page
  2. Select Supervisor Agent
  3. Configure Agent Settings
  4. Deploy the Agent

Configuration Options

Parameter Description Example Value
Prompts Set system, user, and assistant prompts. System Prompt, User Prompt
Models Selects the AI model for text generation. GPT-4 Turbo
Tools Tools which can be added to the agent for additional processing of the generated text. Sentiment Analysis
Agent Paths Define execution paths for multiple sub-agents. Research Agent, Writer Agent
Messages System messages to guide the agent’s behavior. [{'user' : 'give me a write up for the topic : Claude vs GPT 4'}]
Stop Words Specifies trigger words to halt execution. `